Dean Ng
Impact in
- Dermatology top 2%
- Dermatology and Skin Diseases
- Urology top 5%
- Hair Growth and Disorders
Papers in
-
- Glycosylation and Glycoproteins Research 4
- Signaling Pathways in Disease 3
- Retinoids in leukemia and cellular processes 3
-
- Monoclonal and Polyclonal Antibodies Research 8
- Co-authors
- Daniel D. Bikle (10 shared papers)Kenneth R. Feingold (5 shared papers)Karen Piper Hanley (5 shared papers)Yuko Oda (3 shared papers)Zhongjian Xie (3 shared papers)László G. Kömüves (3 shared papers)Chia‐Ling Tu (2 shared papers)Mary L. Williams (3 shared papers)
- Journals
- Journal of Investigative Dermatology (4 papers)Cancer Research (4 papers)Blood (2 papers)Journal of Biological Chemistry (2 papers)Journal of Lipid Research (1 paper)
- Partner nations
- United StatesFranceJapan
In The Last Decade
Dean Ng
22 papers receiving 884 citations
Peers
Comparison fields: 5 of 75
- Dermatology 223
- Urology 86
- Cell Biology 154
- Pharmaceutical Science 53
- Molecular Biology 509
Countries citing papers authored by Dean Ng
This map shows the geographic impact of Dean Ng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dean Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dean Ng more than expected).
Fields of papers citing papers by Dean Ng
This network shows the impact of papers produced by Dean Ng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dean Ng. The network helps show where Dean Ng may publish in the future.
Co-authors
The 25 scholars most cited alongside Dean Ng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 151 | |
| 2 | 2001 | 144 | |
| 3 | 2000 | 135 | |
| 4 | 2000 | 91 | |
| 5 | 2000 | 88 | |
| 6 | 2000 | 75 | |
| 7 | 1991 | 43 | |
| 8 | 2001 | 40 | |
| 9 | 2003 | 39 | |
| 10 | 2002 | 39 | |
| 11 | 1999 | 24 | |
| 12 | 2019 | 12 | |
| 13 | 2003 | 11 | |
| 14 | 2022 | 7 | |
| 15 | 2020 | 3 | |
| 16 | 1997 | 3 | |
| 17 | 2017 | 3 | |
| 18 | 2025 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2021 | 1 |
About Dean Ng
Dean Ng is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Oncology and Cell Biology, having authored 22 papers that have together received 913 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), CAR-T cell therapy research (5 papers), Glycosylation and Glycoproteins Research (4 papers), Immune Cell Function and Interaction (4 papers), Signaling Pathways in Disease (3 papers), Retinoids in leukemia and cellular processes (3 papers), T-cell and B-cell Immunology (3 papers) and Cholesterol and Lipid Metabolism (3 papers). The work is most often cited by research in Dermatology (223 citations), Urology (86 citations), Cell Biology (154 citations), Pharmaceutical Science (53 citations) and Molecular Biology (509 citations). Dean Ng has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Daniel D. Bikle, Kenneth R. Feingold, Karen Piper Hanley, Yuko Oda, Zhongjian Xie, László G. Kömüves, Chia‐Ling Tu, Mary L. Williams, Johan Auwerx and Peter M. Elias. Their work appears in journals such as Journal of Investigative Dermatology, Cancer Research, Blood, Journal of Biological Chemistry and Journal of Lipid Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.